code: def _assert_is_unique_and_int(self, iterable):
      uniques = set()
      n_elements = len(iterable)
      for x in iterable:
          self.assertIsInstance(x, int)
          uniques.add(x)
      self.assertEqual(n_elements, len(uniques))
  
file_path: avalanche/tests/benchmarks/scenarios/deprecated/test_classification_scenario.py
imports: import unittest
  import weakref
  import gc
  import torch
  from avalanche.benchmarks import dataset_benchmark, ClassificationExperience, ClassificationScenario
  from avalanche.benchmarks.utils import _make_taskaware_tensor_classification_dataset, DataAttribute
  from torch.utils.data.dataset import TensorDataset
  from avalanche.benchmarks.utils.data import AvalancheDataset
label_desc: Use image node_id 1 for calling the ClassificationScenarioTests obj's underlying member method code with example usage: obj._assert_is_unique_and_int(iterable) without return types